資料庫

Implement JWT custom claims authentication for Supabase to reduce API database queries. Use when building Next.js API routes that need user authentication and authorization (role, company_id, facility_id). Embeds user metadata into JWT tokens to eliminate 40% of database queries per API request. Triggers when implementing authentication in API routes, optimizing Supabase queries, or setting up user session management.

AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inline, tabular, expanded), 3 delimiters (comma, tab, pipe), key folding for nested objects. Triggers on structured data, arrays, repeated patterns. Use TOON by default when tokens matter - RAG pipelines, tool calls, agents, benchmarks. Keywords "data", "array", "list", "table", "log", "transaction", "metric", "analytics", "API", "database", "query", "TOON".

Helps build and extend TypeScript Express APIs using Clean Architecture, inversify dependency injection, Prisma ORM, and Railway deployment patterns established in the upkeep-io project.

"Convert markdown files to Jupyter notebooks (.ipynb). Splits markdown by `---` delimiters into cells, extracts code blocks (```python```, ```sql```) as code cells, and handles YAML front matter removal. Use when converting documentation, tutorials, or structured markdown into interactive Jupyter notebooks."

This skill should be used when the user asks to "generate IDs", "create identifiers", "use nanoid", "add public_id", "prefixed identifiers", "short IDs", or discusses ID generation strategies, public vs internal IDs, or URL-friendly identifiers. Use nanoid for public identifiers and UUID for auth.users references.

Use when writing BigQuery queries, optimizing query performance, analyzing execution plans, or avoiding common SQL gotchas. Covers parameterized queries, UDFs, scripting, window functions (QUALIFY, ROW_NUMBER, RANK, LEAD/LAG), JSON functions, ARRAY/STRUCT operations, BigQuery-specific features (EXCEPT, REPLACE, SAFE_*), CTE re-execution issues, NOT IN with NULLs, DML performance, Standard vs Legacy SQL, and performance best practices.

Utilizing Dynamic 4-bit quantization, FP8 training, and 8-bit optimizers to minimize VRAM usage without sacrificing accuracy. Triggers: quantization, dynamic 4-bit, fp8, bitsandbytes, adamw_8bit, qat.

Expert guidance for creating and working with marimo notebooks - reactive Python notebooks that can be executed as scripts and deployed as apps. Use when the user asks to create marimo notebooks, convert Jupyter notebooks to marimo, build interactive dashboards or data apps with marimo, work with marimo's reactive programming model, debug marimo notebooks, or needs help with marimo-specific features (cells, UI elements, reactivity, SQL integration, deploying apps, etc.).

Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and deployment. Use when working with FastAPI projects, building APIs, implementing CRUD operations, setting up authentication/authorization, integrating databases (SQL/NoSQL), adding middleware, handling WebSockets, or deploying FastAPI applications. Triggered by requests involving .py files with FastAPI code, API endpoint creation, Pydantic models, or FastAPI-specific features.

Research-driven Apache Polaris catalog management for floe-runtime. Use when working with Polaris catalog configuration, namespace management, credential setup, or multi-engine integration patterns with DuckDB, dbt, and Dagster.

Implement query result caching with Redis and proper invalidation strategies for Prisma 6. Use when optimizing frequently accessed data, improving read-heavy application performance, or reducing database load through caching.

A comprehensive skill for integrating the `better-auth` authentication framework into modern web applications. Use this skill for tasks involving user authentication, including setup, configuration, database integration, and implementing various auth methods like email/password, social logins, magic links, and passkeys, especially within a Next.js environment.

Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance. ALL ERRORS MUST BE CAPTURED TO SENTRY - no exceptions.

Debug Django Channels WebSocket issues including connection failures, authentication, message handling, Redis pub/sub, and real-time streaming. Use when troubleshooting WebSocket not connecting, messages not received, connection dropped, or streaming not working.

Use this skill when working with the SurrealDartB package in Dart/Flutter projects. This includes creating embedded SurrealDB databases, performing CRUD operations, managing schemas with code generation, working with vector embeddings for AI/ML applications, building type-safe queries with ORM features, and handling migrations. Invoke when user mentions SurrealDB, embedded databases, vector search, semantic similarity, or asks to implement database features in Dart/Flutter.

Master MongoDB integration in applications with Node.js, Python, and Java drivers. Learn connections, transactions, error handling, and best practices. Use when building applications with MongoDB.

Use this agent when you need to design, implement, or optimize FastAPI backend applications. This includes API endpoint creation, database integration, authentication/authorization implementation, cloud deployment strategies, business logic architecture, performance optimization, and following FastAPI best practices.

Specialized database operations for Chuukese language data including dictionary management, phrase collections, translation pairs, and linguistic metadata. Use when working with Chuukese language databases, managing translation data, or performing database operations on linguistic datasets.

Write secure, performant database queries using parameterization, proper indexing, and optimization techniques. When creating or modifying database query logic, data access layers, or repository files. When working on files that interact with databases using SQL, ORMs, or query builders. When implementing SELECT queries, joins, transactions, or data fetching logic. When optimizing queries to prevent N+1 problems, using eager loading, or implementing query caching. When writing parameterized queries to prevent SQL injection vulnerabilities.